Chaoyang He comments

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                                            Chaoyang He

can risc0 support deep learning model inference ZKP?

@brianretford we are a startup doing web3+AI and very interested in leveraging your library to develop our blockchain system. Would you mind creating a cross-company Slack channel/discord for further discussion?

stackoverflow_lr trainer problem

@ZSL98 have you finally addressed the problem? It seems our results are here are reasonable: https://doc.fedml.ai/simulation/benchmark/BENCHMARK_simulation.html

Bugs when using seq2seq in fednlp.

@Luoyang144 normally, you need to check the entire training/test accuracy/loss curve. Sometimes, it's normal that the optimization between two iterations are the same (epochs/round, etc.)

Bugs when using seq2seq in fednlp.

@zuluzazu Hi Mrigank, please check this bug.

terminology in run_vfl_fc_two_party_lending_club.py

@yankang18 Hi Yan Kang, please help to check whether this is an error.

terminology in run_vfl_fc_two_party_lending_club.py

> > @peiji1981 In the current vertical federated learning setting, only party A has labels. Other parties only provide features for building the federated model. > > The guest typically...

terminology in run_vfl_fc_two_party_lending_club.py

@yankang18 how about drawing a diagram to illustrate our current implementation?

Error when running torch_fedavg_mnist_lr_one_line_example.py

@Alan-JW please help to type "fedml env" and let us know your environment info.

Error when running torch_fedavg_mnist_lr_one_line_example.py

@Alan-JW in your fedml environement, launch a new shell window and type "fedml env". Here is the guidance: https://doc.fedml.ai/mlops/api.html

Implementing custom ML models

@amyseoj1 of course. Here are many examples: https://github.com/FedML-AI/FedML/tree/master/examples For example, you can use CNN, Transformers, GNN like these applications: https://github.com/FedML-AI/FedML/tree/master/python/app